Fusion estimation for a class of multi-rate power systems with randomly occurring SCADA measurement delays

DOI10.1016/J.AUTOMATICA.2020.109408zbMath1461.93014OpenAlexW3116298211MaRDI QIDQ2663901

Bo Shen, Zidong Wang, Bogang Qu

Publication date: 20 April 2021

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2020.109408

zbMATH Keywords

power systemsrandomly occurring measurement delaysmulti-rate systemscovariance intersection fusion

Mathematics Subject Classification ID

Large-scale systems (93A15) Delay control/observation systems (93C43) Networked control (93B70)

Related Items (8)

Distributed state estimation for renewable energy microgrids with sensor saturations ⋮ Robust fusion filtering over multisensor systems with energy harvesting constraints ⋮ Finite-time input-to-state stability of discrete-time stochastic switched systems: a comparison principle-based method ⋮ Decentralized dynamic state estimation for multi-machine power systems with non-Gaussian noises: outlier detection and localization ⋮ Fusion filtering for rectangular descriptor systems with stochastic bias and random observation delays under weighted try-once-discard protocol ⋮ Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations ⋮ Trust-based distributed state estimation for microgrids with encoding-decoding mechanisms ⋮ Event-based fusion estimation for multi-rate systems subject to sensor degradations

Uses Software

• MATPOWER

Cites Work

• Unnamed Item
• Globally optimal sequential and distributed fusion state estimation for multi-sensor systems with cross-correlated noises
• Joint state and parameter estimation for uncertain stochastic nonlinear polynomial systems
• Robust Kalman filtering for uncertain discrete-time systems
• Reduced-Order Sliding-Mode-Observer-Based Fault Estimation for Markov Jump Systems
• Descriptor Observers Design for Markov Jump Systems With Simultaneous Sensor and Actuator Faults
• New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts
• Decentralized control of power systems via robust control of uncertain Markov jump parameter systems

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